Introduction
Welcome
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What you should know
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Using the exercise files
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1. The Basics
Introduction
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Set up a Node.js project
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Add TypeScript debugging support
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Add helper code and debugging
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2. Text Analytics API
Set up your Node.js project
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Register Text Analytics API in Azure
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Detect language using text analytics
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Detect key phrases
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Detect sentiment
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3. Bing Spell Check API
Register in Azure and set up the Node.js project
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Bing spell check using GET requests
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Bing spell check using POST requests
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4. Translator Text API
Set up the project
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Set up the Translator Text API in Azure and update the project
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Write code for getting supported languages
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Get supported languages running and refactor the code
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Get supported languages using an access token
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Get supported languages using access token
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Get language names
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Write code for translating between languages
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Translations between multiple languages
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Breaking apart longer sentences
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Translate lots of content using TranslateArray
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Get languages for Speak
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Performing text-to-speech
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5. LUIS
LUIS basics
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Create a new LUIS app
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Add keys from Azure into LUIS applications
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Adding a prebuilt model, train, and publish the app
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Test the application in the LUIS portal
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Call the LUIS app from code
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Delete the LUIS app
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6. LUIS Authoring APIs
Set up the project with the correct keys and configuration
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Define the application domain
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Creating business objects
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Write code for parsing the model
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Create the structure of the main program
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Write code to create a LUIS app
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Write code to add intents into the application
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Write code to add entities in the application
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Write code to add utterances
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Run the application and get the model created and running
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AI in action with fuzzy commands
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Ex_Files_MSFT_Cognitive_Dev.zip
(34.2 MB)